SimulacionControlPosicion.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8ea9dd50-f825-4779-b732-ec557985e472",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------------------------\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=1.1071487177940904 beta=-0.7853981633974483\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.5535743588970452 beta=-1.3389725222944935\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.2767871794485226 beta=-1.615759701743016\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.1383935897242613 beta=-1.7541532914672775\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.0691967948621306 beta=-1.823350086329408\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.0345983974310653 beta=-1.8579484837604734\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.01729919871553265 beta=-1.875247682476006\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.008649599357766435 beta=-1.8838972818337723\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.004324799678883107 beta=-1.8882220815126556\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.0021623998394415533 beta=-1.8903844813520971\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.0010811999197206656 beta=-1.891465681271818\n",
      "Reduciendo ALPHA: rho=2.23606797749979 alpha=0.0005405999598602218 beta=-1.8920062812316785\n",
      "-------------------------------------------------------------\n",
      "Reduciendo RHO: rho=2.23606797749979 alpha=0.0002702999799302219 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=1.9006577952899777 alpha=0.00031799997546411163 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=1.6155591429554887 alpha=0.000374117616687597 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=1.3732252914639391 alpha=0.00044013837012246704 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=1.167241521217023 alpha=0.0005178098432112588 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.992155320649381 alpha=0.0006091880443370723 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.8433320550401046 alpha=0.0007166918062833094 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.7168322850054186 alpha=0.0008431668136879011 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.6093074872208758 alpha=0.0009919609292177167 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.5179114170392372 alpha=0.0011670128122085455 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.4402247667204005 alpha=0.0013729561752513497 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.3741911249323952 alpha=0.001615242437961406 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.318062542333772 alpha=0.0019002850238460933 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.2703532623263297 alpha=0.0022356291185732236 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.22980039220398432 alpha=0.00263015138110978 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.1953304736399601 alpha=0.0030942948907111134 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.16603106761343275 alpha=0.0036403455432838516 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.14112660161191523 alpha=0.004282757204250087 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.11995783977062915 alpha=0.005038534209874879 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.10196443251137022 alpha=0.0059276813175981324 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0866700837595428 alpha=0.006973732975950719 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.07366994310687036 alpha=0.008204375859233615 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.06261988918290762 alpha=0.009652181040116226 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.05322742055988479 alpha=0.011355465009093013 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.04524391306776567 alpha=0.013359302052309285 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.038458038566070316 alpha=0.01571671432984756 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0326901709634481 alpha=0.01849007041397388 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.02778763140898936 alpha=0.021752728098802354 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.023620646792599707 alpha=0.025590963000378775 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.020078914573410846 alpha=0.03010623079752106 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.017068683004967666 alpha=0.035417817789406 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.014510269468630311 alpha=0.04166594146483993 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.012335951223358317 alpha=0.049015369396341324 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.010488172737717343 alpha=0.05765962990524254 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.008918022149400007 alpha=0.0678258896988535 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.007583936520439363 alpha=0.07978056885159912 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0064506016109214265 alpha=0.09383574677843787 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.005488017040233917 alpha=0.11035637560141143 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0046707020783407875 alpha=0.1297682457846454 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.003977021025071814 alpha=0.15256652166247608 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0033886102898872785 alpha=0.1793244490076451 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0028898919594861675 alpha=0.2107014857932219 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0024676609040199626 alpha=0.24744955622064002 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.002110734381136139 alpha=0.2904152981174808 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.001809654698078092 alpha=0.34053499011127486 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0015564368275263914 alpha=0.3988172884196515 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0013443539853344858 alpha=0.4663071245330108 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0011677551213046325 alpha=0.5440226423441776 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.0010219091262793649 alpha=0.6328570788725632 beta=-1.8922765812116085\n",
      "Reduciendo RHO: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-1.8922765812116085\n",
      "-------------------------------------------------------------\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-1.8922765812116085\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-1.1353659487269652\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.6812195692361789\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.40873174154170744\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.24523904492502446\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.1471434269550147\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.08828605617300878\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.05297163370380531\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.03178298022228321\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.019069788133369903\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.011441872880021964\n",
      "Reduciendo BETA: rho=0.000902871434979106 alpha=0.7334410798036319 beta=-0.006865123728013178\n"
     ]
    },
    {
     "data": {
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2sT7ZGBN8/HuBHEKfyS4BppoDz9xijNlqAs5sBiyfD6wGxgStutaZ32yCztw6+205yGs4Fns2dqkx5sWgfV8FPsUOdnZ8iH3/boxZGbTMf5b1KP8CERkInAi8aYx5JegY+cA07Nn8c/yLsd+hYmzDNvg15RzkNSmllKqBsLscm4CBJpRSSjUY/us0Dba76f+wvWxecJYPceYLg3c0xpSJyBLsGcLBwCZs182twO0iMgR4H9sg/DawoViNY5z5PGPMAY2BGhqCbUh8EmLdYuyZwsEh1v1sjNkTYvlmZ94SqMk9bP8D3A+ch+3ijIi0wzbmvjHGfB+w7YvYbrpfOt2VFwGf1aAhFxGna/hA7Nn3G0Qk1GbF2K7PwTaYKm5/JLagC7FnfwcCGUBCwCYlQbscg/3sfRhG9QNV+fkMWH48Nu8lQetCdUP2Z50RsOw3zrxFqOt3gTbOvA+AMWaPiLyL7a3wrYi8if1efWmM2V9FPZVSSoVJr6FVSimFCRrlOIQWznx7Fev9y1s65e0RkWOw136Op+KMXLaIzADuM8aUVnO8ls78gLN1YWgB5BpjghtP/kZ4NtA2xH75VZTnPxOZUMX6YLOxZzh/h9OgxTbyEgk6O2uMecu5Rvlm7Jnl3wOIyNfYLtcfUTcysGcR21Dxo0ZNZVWz7jHgBuznYh42R//Z30ux3dgDtQTyQpwhrqmwPp9B8kMsC5V1pjMf7UxVaRbweBK2N8AFVFwHXeT0gphqjNkRvLNSSqnwaINWKaVUTex25u2rWN8haDt/N9HLnbN1R2AvWbkGO/CPB/hTNcfLd+YhR5qtod1AKxFJCm48ix19uDX2+sk6YYzZIiILgZNF5HBjzI/Yxm0p9hrN4O3nAnPFjt58NHagoauB90RksNPtOdr8eX1jjBlS7ZYHCnnfPxFpC1yHHQjp2ODu5SJyfojd8oFMEWlSy0Zt2J/PCI5xvTHm7zXZwXkt04HpItIFOAHboL8I26NheAT1UUopRRRu2yMiFznD8hc4Q/ZXmqJRSaWUUjH3jTMfEbzCaRz6r01cEbzeWKuNMU9QcWbrzIMc7wtnPkZC3F6nhr7B/j93Qoh1J2DPvh1Q3yib5cx/JyKDgAHAB8aYXVXtYIwpMMYsNMbcBDyAHURrXAR18P9ffMCZZefa4tVA3xDX+tZWD+z7Pj9EY7azsz7YF9gzxWNrecwqP59ByyPJ2/+ZrFUj1Biz2bm+dwzwM3C8iGQeZDellFIHEVGDVkTGA89h/yNp4jx+GXsbhZ+BeyKtoFJKqbjwNpALnO90JQ50A7aR8rExZhOAiPQTkW4hymnnzKu9htAY8zX2di+DqBjAqZyIZIpI6kHqPNOZP+hcK+rfNw14yHn67EHKiNRb2LPAF2HPzEFFI7eciIwSkSYh9q/R+3UQ/sGHggfs8nsM22ieKSItQ9Qtw7kOuqY2OPPjRaS8ES0izbCDLYXqHfaEM/9rqPu/VnVP2ACfAWudY04I2ncC9geMn7CDQ9WKsbf8+R9wtohMDrWNiPR3zlAjIm1E5OgQmzXF3lqojAOvJVZKKRWmSLsc3479j/BO4HJghjFmhYi0x/6jv7m6nZVSSrmDMWaf80f868BiEXkdO/jTkdhbrmThXPfpOBl4TEQ+x94uZSfQGTtasg94pAaHvQg7oNMDInKO81iAQ51jHk7AvVRD1PklEfkt9p6vq0XkbWw32TOB7sBrwSPiRpsxptB5ry7H3u80B3u/2WB/BbqJyCfY11SCfW9Pwt7v95UQ+9TUWuw1rOeJSAk2NwM8b4zZaIyZ6YwqPQVYLyLznG1aYd+nE7A/WP+hJgczxmSJyCvYwbC+FZH52GtcRwNF2JGrBwXtM19E7sV2Q//ByWoztkF/PPbs6KXVHNOIyO+w9zx+VUTewX7uemPz3gtcEsEAY34XYAeYelZErgO+xHaX7ow9+94PO3jUTmx3+S9E5AfsmeHNQHNsV/L22NGVazK4mFJKqWpE2qDtjR1Ewn8dTSKU/2d2H3ALFb+QK6WUcjFjzDsichz2R8wx2EZKFvA0cK8xZlvA5vOAx7GNod9i/5Dfjm1wPGaM+bwGx/vVOTN4K7ZR8v+wDaIN2AZgyBF2g5yPHdG4fKAl7P1K/wr8owb7R8MsbIM2CXg51CBV2K7FZwFDqbgH8CZn+ePGmLzaHtwY4xWRs7BnpSdizw4K9mzlRmeba0TkA2yj9WTs4Em5Th0eAV44sORqXY69p+wk7HXTu4A52Oun36yinn8WkS+w19+ejj2TuRM7CvHsGrzOL0VkGHCX8xrOwI7e/DL287k2zNcQ6hhbnMb/tdjb81yI7cqdBazBnmn23wJoA/ZvpBHY2xi2xr6na7EnBCL5kUIppZRDjAk5pkPNdhbJB35rjFksInuxNzOf46wbCcw1xqRVV4ZSSimllFJKKVUbkQ4K9SvQ0Xn8HfaXcL8JVD18vlJKKaWUUkopFZFIG7QLsN16AP4PmCQi60RkDbbb0tMRlq+UUkoppZRSSoUUaZfjFCDFGLPHeX429noSA7xnjJkVjUoqpZRSSimllFLBImrQKqWUUkoppZRSsRLpKMcAOPcCHAJkYm9JsMIYUxSNspVSSimllFJKqVAivYYWEbkJO/jT/4B3nHmWiNwcadlKKaWUUkoppVRVIjpDKyLXAo9i7yv4EvY+bO2x19E+LCKlxpi/R1xLpZRSSimllFIqSKSDQq0HPjPGXBJi3QvAb4wxPSOoX8REpAVwIrAZCHUze6WUUkoppZRSsZcMdAEWG2N212SHSK+h7Qi8WMW654FzIiw/Gk7EdoVWSimllFJKKRX/fgvMqcmGkTZofwLaVbGuA7Au3AJF5CTgIuBYbOs8H1gO3GOM+boWddwM8Pbbb9OrV69a7F63Nm2y865dY1sPVTOal7toXu6iebmL5uUumpe7aF7uonlFz7p16zjzzDPBacPVRKQN2mnA30RkhTFmlX+hiAxw1t1UizKvxo6W/H/AGqANcDPwhYiMMcYsDLO8EoBevXrRt2/fWlSnbrVubeftqvpZQMUVzctdNC930bzcRfNyF83LXTQvd9G86kSNLxUNu0ErIsGnfhOBb0VkNRWDQvUFtgGXAv8N8xDXGGN2Bh3zQ+zZ3juBcBu0ca1Ib27kKpqXu2he7qJ5uYvm5S6al7toXu6iecVWbc7QDgACR5Iqw54Sbu5MUHGKuH+4hQc3Zp1l+0RkDbYLcoOy03m1hxwS23qomtG83EXzchfNy100L3fRvNxF83IXzSu2wm7QGmO61UE9quWMVDyEg5ydFZG22C7KgXoCrFwJKSmQnm5/RfF/8Ho6YzCvX2/nHTtCUhLk5sLevZCYWLHMv03PnlBaCtu2QVmZLbNVq4plocpt2xZSU22ZeXkV2+zeDVu32uf+fvc7d9o6pqba/aCib35wuRkZ8feaArdpaK9pzRrbnWTHjobzmhpiTv7XlJNTsb6hvKaGmJP/Na1ZA8nJFcsawmtqiDn5X1NOjl22bFn8vKZ1PxuMz0frVoaUJB97dxvycn0Yn+GQLnb+6y8GjKFDOx/GGLJ3GoqLDMmJPjIyDMZr2L7NYHyGTh1teVs2G/AZmjU1NEm12+fl2nLat7Pb+vfJaGlISDDs22PYv9/gEUPLFoYEMezYARhDm9aGsjJDfh54ywwpKYa0JgZvGeTn2XIzMw0YyN5lMMbQrCkkJhiKCg2FhWB8hlYZdpucHLtP8+a2/IICKCs1JCRAWprdZv06AxiynPcqL88uT0kxJCfZ7ffvp1I5u53xRdPSDB6BokJDSQl4PBXL9uw2GAPNm4PPa4/t89kMU5INPi/sL7DnQZo1s+Xt3WuPnZoKHo+htBRKnM6FzZrabfftBWMMaWmAgeJi8HoNHo/9ew6ccg00bWqfF+yz+yYlQ2ICeL1QXGyXNW0KxsD+AltuaiqIQGkJlHlBMKSk2GWF+yuObYz9DBuf/XwmJYHPZygutsds0sTWb3+hfZ6cZOvo9drPKMbZBigstO9rSqp9XlJi3yuPB5KT7DH95ZaV2vkXzl/qiYmQkGCP7X+vysvd7xzbqX9ZGXjLQMSQnGyX+c8gpqba11RSYucJCbZs/zL/NlCxT1IS5a+prCz0Nv5MSksrXlNSkl3mf03B+1S8Jue9CrGNv/5lZfb4IsTla8rNtfNlzd3zmg67ZjQdjuoSd/8/7a7RuMaVRXoNbX15CmgK3H+Q7aZgr911je7dY10DFY5OnaBz51jXQtVUt24Vf0Cp+NepU8V/vqpu+cp8eIu8+ErK2I+XUiljT76XvdlefKVesnK9eEu9ZG/04ivz4l3jxVfiJT/HR3GhlwS8iM9uu77Ahynzkt3ch6/US+4uH74yL8lJPhLFR2mRl/17ffi8Pn5q4sNX5mPfHh/G6yM50c5Li3yUFvvA5yPBY+fFhT6M1/Cpx+5TVmLnYmwj03h9eEt94PM/r/1tCBuTFbGugIqavFhXQB1gV6wrEIbSPYWxrkLURHQfWgARSQIuAUZhB3PKBj4GXjDGlEZcQZF7gbuAa40xTx5k26rO0L6zatWquBwUyv+LTqtWsa2HqhnNy100L3dpjHkZYyjdX0ppQSklBSX28f5SygrL7OPC6h+XFVWevMXeA5aVryvxUlZstzE+bfw1eAIiYuceARHEvyx4fXXzKraFGiwL2rd8feBy53HwusCyqlwXXE7A+lD7VFtONfU4YN+gdQlNEmg5pCVNezTFk+ThoOTgm9g/zwVPDYqL9Fgqcj6fnUecVz1q268taZlp9XIsESElJYXmzZvTtGnTyt+lIKtXr6Zfv34A/Ywxq2tSfkRnaJ2uwAuw3YELsINCHQucD0wRkVHGmD0RlD8N25j948Eas1B+/W3wgFK1PXy98J+Gb0x/wLmZ5uUumpe7uCEvX5mPot1FFO8upnhPMcV7iynZW1Ll3P+4vMEaON9nG7ANiSQICUkJeBI9eJI89nHA3JNYeSrfNsQkCWIfJ1R+Hrg8+LF4pGJ5FfPybTxy8Of+KUEqPfevRzhgW38D8oBJgtZX9zzEuqq2O2CbKv7u8XcNHzasHj8QjYAxho0bN1JYWEhCQgKJidHp/OjvMhql4lQd07yq5/V62b17N7t376ZVq1a0bds2qm20SN/2+4HewCRjzOv+hSIyAZjprL+2NgU7jdnpwHRjzAMR1lMppZTCGEPJ3hIKcwvtlFdY8Ti3kKK8IorybYPV33Atn+cXxU0DNCElgcTURJKaJJGYmnjQKSElwe6TkkhCcvWPE5JDTEmVn3uSPHy/KgFPUgJDj65omIonvn9EVira9u7dS2FhIS1atKBDhw5R+yO9oMDO/dcHq/imeR1cSUkJ27dvJzc3l6ZNm9IsiteERdqgPRP4c2BjFsAY84aIdMXehzbsBq2I/AnbmL3PGHN3hHWMax07xroGKhyal7toXu5Sm7xK95dSsKuA/bv2Vznfn72/UqO1Pq61TExNJDk9mZT0FJLTk0lulkxy02SSmiaVzwMfly9LC5iaJJHYJLH8cVKafZ6YmognIfb92vxDQCTrH3CuoP8e1o09e2xHxGifcfIPPqTcQfM6uOTkZDp06MD69evZs2dPXDVo2wDfV7HuO6B1uAWKyM3APcCHwFwROSZwvTHmi3DLjGf6BXAXzctdNC938efl8/oo2FnAvu372Je1j73b97Jve8V8X5adCnYWUFoQ3TOmCSkJpLZIJbVlKiktUkhtYecpLVJIbZla/jy1RSopzVNIaZ5iG6sBjdeU9BQ8ibFvcNY1/X65i+ZVN0pLS0lMTIxaV2O/OL9iTgXRvGomOTmZpKQkiv3DREdJpN++rcDx2Otogx0HbKtFmWc487HOFKxBfWT8g6D4h8xW8U3zchfNK/54S73s3baXPZv3sHvz7krznT/voXDnXopzCyIetMiT5CGtdRpN2zQlrU0aaZlppLZKpUlGE5q0qjylZqSWP05qon/115R+v9xF86obxhg8dTASkP+aTP0hwh00r5oTESIdlDhYpA3aV4E7RWQv8B9jTI6IZAIXAXcCj4VboDFmRIR1cpW9e2NdAxUOzctdNK/65y3xsnvTbvJ+ySN3fS55v+Sxe+Nudm+yjdZ9Wftq3VhNzUilWftmpHdIp1n7ZjRtZxur/kZr4DylRUrcDwrodvr9chfNq+7Uxb81/lFzlTtoXjVXF9+XSBu004HBwKPAIyJS5pQpwDxnvaqGjobmLpqXu2hedaMov4icn3PI+yXPTuvzyh/v2bwn7AZrSvMUmndpjrRoQWrbdA7pV9Fobdah4nFiqgYaT/T75S6al7vo73HuonnFVkT/vBljioGxIjIGGIm9D20OsMAY81EU6tfg6SAN7qJ5uYvmVXvGGPZs2UP2j9lk/5Bt587jfVn7alxOQnICLbq2oEXXFjTv0pzmXZrTokuLSvPUFqkA7Nhh92nXri5ekYo2/X65i+blLtp1NbqWL1/O8ccfz4wZM5g8eXLUy9e8Yisqv9cZY+Zhz8iqMOkXwF00L3fRvA7OGMPuTbvZ8d0Odny/o6Lh+mN2jQdcSmudRkbPDDJ6BEzO8/SO6TUekVfzchfNy100L3eJhzN+s2bN4rLLLit/npCQQPv27Rk9ejT33XcfnTp1ivoxRYRp06Yxffr0Gu+zYcMGunfvznPPPcell156wPr8/HwmTpzIHXfcUSeNWajbvIwxjB49mm+++YbVq1fTvn37Suv/8Ic/MHPmTL788ksGDx4csgz/e+T3+uuvM2HChKjULz8/n4yMjPLnjzzyCFOnTo1K2TWlHVBibP16O2/VKrb1UDWjebmL5lVZWVEZu9bsIuu7LLK+zbKN2O92UJRfdNB9k9OTaX146/Ips3cmrXq1IqN7BinNU6JSP83LXTQvd9G83MU/CGw8dBV/7rnnOPzwwyksLGTJkiU8+OCDLF68mJUrV9I0yjdeXbp0KZ07dw5rnw4dOrB06VJ69ux5wDpjDL/73e8YOXIk06ZNi1Y1D1CXeYkIM2fOpH///lx55ZW8++675evmzZvHP//5T6ZPn15lYzbQXXfdxWmnncZhhx0Wtfqlp6ezdOlStm/fztlnnx21csMR9tsuIr8CNb1AyhhjDvx0KaWUqlOl+0vZ9vU2tn65tbzxuuuHXQe9B2t6p/SKhmufigZsesd0HWRJKaUaoX79+jF06FAARo4cidfr5d577+Xtt9/mwgsvjOqxjjnmmINvFCQlJaXK/USEd955J9JqxVzXrl157LHHuOKKK3juuee47LLLyMvL4/LLL2fIkCH88Y9/rFE5PXv2rNV7XJ2EhASOOeYYNmzYENVyw1GbccYXhzEtiU41G66ePe2k3EHzcpfGkpcxhpyfcvhu9nfMnTKXfw75Jw82f5BZJ8zio1s+YuWLK9m5amelxmxCSgIdjuzA4MsHM/bvY7l08aXclncbN225iUs+voRTnzyVo645ih6jetC8U/N6acw2lrwaCs3LXTQvd0lJsVM88jeINm7cCEBRURF33HEH3bt3Jzk5mU6dOnHNNdeQn59fab+FCxcyYsQIMjMzadKkCV27duWcc85h//795duIyAHdjbdu3cpVV11Fly5dSE5OpmPHjkyYMIEdzsALGzZsQESYNWtWpf0+/fRTRo0aRXp6OmlpaRx77LHMnTu30jazZs1CRFi0aBFXX301rVu3JjMzk7PPPptt22p299Hly5dz3nnj6dKlFampqQwePJjXXnst6se5/PLLGTduHDfeeCObN2/m//2//0d2djazZ8+O6D7I06dPR0T4/vvvOffcc2nRogWtWrXipptuoqysjLVr1zJ27FjS09Pp1q0bDz/8cK2PVVfCfvXGmEvroB6NVmnNLlFTcULzcpeGmldRfhFbvtzCli+2sPXLrWz9ciuFuYVVbt+0XVPaD2xPu0Ht7HxgO1r3bo0nMfr3ToxEQ82rodK83EXzqmc33ADfflvr3T3+3x+j9VvioEHw+ONRKWrdunUAtGnTBmMMZ555JgsWLOCOO+5g+PDhfP/990ybNo2lS5eydOlSUlJS2LBhA6eddhrDhw9n5syZtGzZkq1bt/Lhhx9SUlJCWlpayGNt3bqVYcOGUVpayp133smAAQPIyclh3rx55OXl0a6KUQQXL17M6NGjGTBgAM8++ywpKSnMmDGDM844g5dffplJkyZV2v6KK67gtNNO46WXXmLz5s3ccsstXHTRRSxcuLDa92LRokWMHTuWo446mieffJrMzBa88sorTJo0if379x9wTW9tj+P3zDPP0K9fP0aOHMn69et56KGH6Nu3b432PZiJEydy0UUX8fvf/56PPvqIhx9+mNLSUj7++GOmTJnC1KlTeemll7jtttvo1atXzLoXhxIHPfMbN/+PMjqqpztoXu7SUPIq3lvMpk838evCX9mwaAPbV2yv8sKPxCaJdBzakc7HdKbT0Z3ofHRnmnduXr8VrqWGkldjoXm5i+ZVz779FhYvrvXu8fRzo9frpaysjKKiIhYvXsx9991Heno648ePZ/78+cybN4+HH36YW265BYDRo0fTpUsXJk2axOzZs7nyyiv5+uuvKSoq4pFHHmHgwIHlZV9wwQXVHvvPf/4z2dnZfPfdd/Tp06d8+cSJE6vd7/bbbycjI4NPPvmEZs2aAXD66aczaNAgpk6dysSJEyv1PBo7dix///vfy5/n5uZy6623kpWVdcAgTIGmTJlC3759mTt3IYmJiaSlwZgxY8jOzubOO+/kkksuweOpSLO2x/Hr2LEjt9xyC3feeScDBw6M6uBLV111FTfddBMAJ598MvPnz+fJJ5/krbfe4qyzzgJgxIgRvPfee7z44osNp0ErIidUs9oH5AM/GmPKIjlOQ1am74yraF7u4ta8SgtL2fz5ZjYs2sCvC39l61dbq7z2NfOwTNt4PcY2Xtv2b0tCUkI91zg63JpXY6V5uYvmVc8GDYpod6/XzhOi9c95BPUJvuayf//+/OMf/6Bdu3blZxaDz0See+65TJ48mQULFnDllVcyaNAgkpOTueqqq5gyZQrDhw+nR48eBz32Bx98wMiRIys1Zg+moKCAL7/8kquvvrq8MQv2Ws+LL76Y2267jbVr13L44YeXrxs/fnylMgYMGADYbtVVNTTXrVvHjz/+yKOPPooxUFpaVv49O/XUU3nvvfdYu3ZtpbrX5jjBr+2ZZ57B4/Hw888/s2HDhpCDYdXG6aefXul5nz59+O677xg3blz5ssTERHr16lXe3TxeRHqG9hMOPkDUPhF5zBhzd4THapDS02NdAxUOzctd3JKXz+tj27JtrP9oPRsWbmDz55vxlngP2E48QsehHel2UjcOGX4InY7uRFpm6G5abuSWvJSlebmL5lXPIuzeW+JcRdKkSeRVidTs2bPp06cPiYmJtGvXjg4dOpSvy8nJITExkTZt2lTaR0Ro3749OTk5gB2M6OOPP+bhhx/mmmuuoaCggB49enDddddx/fXXV3nsXbt2hT3qcV5eHsaYSvX06+jckNlfL7/MzMxKz1OcC5gLC6u+nMd/De/UqVOrPFOanZ0d8XEC3XLLLWzatIm5c+dyySWXMHnyZD755JOojHPRKmgI9OTkZNLS0khNTT1g+Z49eyI+XjRF2qA9A3gCWAu8DOwA2gPnA72BPwPDgT+JSK4x5okIj9fg6PD57qJ5uUs851Wyr4T1H63npzk/8dPcn9i/a3/I7doPak+3k7rRfWR3ug7vSmqL1JDbNQTxnJc6kOblLpqXu8TD7Xr8+vTpUz7KcbDMzEzKysrYtWtXpUatMYasrCyGDRtWvmz48OEMHz4cr9fL8uXLeeKJJ7jhhhto164d5513Xsjy27Rpw5YtW8Kqb0ZGBh6Ph+3btx+wzj8AU+vWrcMqMxR/GXfccQfjx9vut8G59e7dO+Lj+C1YsICnn36aP/3pT4wdO5annnqKiRMn8sQTT3DddddF7ThuFOnXZSywJMRAUf8Rkf8AxxtjrnJ+NbgS2/hVAXSQBnfRvNwl3vLavXk3P737Ez+9+xO/Lvw15FnYNke0odvIbnQ/qTuHnHhIgzoDezDxlpeqnublLpqXu5ia3iAzxkaNGsXDDz/MCy+8wI033li+/M0336SgoIBRo0YdsE9CQgJHH300hx9+OC+++CIrVqyoskE7btw4nn/+edauXVvjxmHTpk05+uijeeutt3j00Udp4pzm9vl8vPDCC3Tu3Dkq92Ht3bs3hx56KN999x3Tpz8AQHJyxMWGtGfPHiZPnszAgQO56667ANute8KECdxxxx2cdtppUet67EaRNmgnARdXse4l4AXg98B71WzXqPkHaejUKbb1UDWjeblLrPMyPsO2r7eVN2Kzvs06YJvEJon0HN2Tw8YfxqGnHkp6h8bbLzDWeanwaF7uonm5i/8HiLpqIEXL6NGjGTNmDLfddht79uzhuOOOKx/lePDgwVx8sf3z/+mnn2bhwoWcdtppdO3alaKiImbOnAnYAYiqcs899/DBBx9wwgkncOedd9K/f3/y8/P58MMPuemmmypdBxvowQcfZPTo0YwcOZKpU6eSnJzMjBkzWLVqFS+//HLUbkX3z3/+k3HjxnHqqWO48MJL6dmzE7m5ufzwww+sWLGC119/PSrHufHGG8nKyuLdd98lKSmpfPmMGTPo27dvVLseu1GkDdqmQJsq1rUD/KcW9gI6HIFSqlHYsXIHK19cyaqXV7F70+4D1qd3TOewMw7jsDMOo/tJ3UlqkhSiFKWUUiq+iQhvv/0206dP57nnnuP++++ndevWXHzxxTzwwAPl14gOGjSI+fPnM23aNLKysmjWrBn9+vVjzpw5nHLKKVWW36lTJ7766iumTZvGQw89RE5ODm3atOH4448/4JrPQCeeeCILFy5k2rRpXHrppfh8PgYOHMicOXMOGPwoEiNHjuSrr77i7rvv57bbbiA/P4/MzEyOOOKIg47EXFMffPABM2fO5P777y8fRMqvTZs22vUYEBNBnwYRmQ8cCow1xqwNWH448CGw1hgzRkQuB6YaY2o+RFmUiEhfYNWqVauidp+maMrNtXO9tsUdNC93qc+8dm/azcqXV7LyxZXsXLnzgPUdhnQob8R2GNKh0f6KWh39frmL5uUumlfd+OWXXwBqNGJvOPyj5cbTtbSqavGe14YNG+jevTvPPvssl1xyCQkJCVH9O6SsrIyNGzfSq1cvHnnkkWpvJ3Sw78zq1avp168fQD9jzOqaHD/St/0GYAmwWkRWYQeFagf0A/Kc9QAdgf9EeCyllIorhbmFrH59NStfXMmm/206YH2XY7vQ74J+HP7bw11zL1illFJKNUyXX345l19+Oa+//joTJkyISpn5+flkZGREpazaiqhBa4xZIyL9gJuAE4AeQA7wV+BxY8x2Z7t7I61oQ7V+vZ3rL6buoHm5S13kVVZUxo/v/Miql1bx8wc/4yv1VVrfuk9r+l/Yn/4X9Ceje2z/gXcb/X65i+blLpqXuxQX23m8nvFTlcV7Xh07dmTZsmXlz6M5gFR6enqlsrt06RK1smsq4rfdGJMF3BqFuiilVNzK35DP8qeX882z37A/u/ItdtI7pdPv/H4MuHAA7Qa20+7ESimllIobycnJVd56KVIJCQl1VnZNxenvCI1H27axroEKh+blLpHmZXyG9fPXs2zGMn567ycIGHIgpUUKR0w4gv4X9ueQEw7Bk+CJ7GBKv18uo3m5i+blLvF6pk+FpnnFlr79MZaaGusaqHBoXu5S27wK8wr59rlvWf6P5eSuy620ruvxXRk6ZSh9zupDYqr+ExpN+v1yF83LXTQvd/Hob6SuonnFlv41FmN799p5u3axrYeqGc3LXcLNa/s321n21DJWvrSSssKKO40lpSXR/6L+DJsyjPYD29dBTRXo98ttNC930bzcxeu18yS9q5sraF6xpQ3aGMvLi3UNVDg0L3epSV7GGNbOWctnf/mMLUu3VFqXeVgmQ6cMZdDvBpHaUk9v1DX9frmL5uUumpe7+BtIyh00r9jSBq1SqlEyPsMP//2BJfcuYcd3O8qXi0foPb43w64ZRveTuiMeHeBJKaWUUipeRa1BKyKpQAaQZ4wpila5DV0UR81W9UDzcpdQefm8Pta8voYl9y1h1+pd5ctTW6Yy9OqhDP3DUFp0bVGPtVR++v1yF83LXTQvd0lJiXUNVDg0r9iKuEErIscCfwGOATyAT0Q+B243xiyNtHyllIoGX5mPVa+sYsl9S8hZm1O+vEmrJvzm5t8w7JphpLbQbsVKKaWUUm4SUYNWRI4BFgL5wL+AbUAn4GxgoYiMMMZ8GWklGzK90bm7aF7usn49+Mq8JP/4Pf+7/3/kra+4iCytTRrHTj2WoVcPJSVdf1qNB/r9chfNy100L3cpLrZzvR1MdCxfvpzjjz+eGTNmMHny5KiXr3nFVqSDTN8DfA/0NMZcY4y53xgzBegJrHTWK6VUvfOV+dj09tcsPudJ5kyeU96Ybda+Gac8dgrX/3o9x916nDZmlVJKqRBmzZqFiJRPiYmJdO7cmcsuu4ytW7fWyTFFhOnTp4e1z4YNGxARZs2aFXJ9fn4+EydO5I477qiTxmxdKi0tZfDgwXTr1o29/qHKA6xbt46mTZty/vnnV1lGcI7Z2dlRq9/bb79dqezly5dHrexwRPo7wjHAZGNMQeBCY0yBiDwCPBth+Q1e166xroEKh+blDr8s+IV5N8xj56qd5cvSO6Vz3G3HMeSKISQ10XH145F+v9xF83IXzctdkpNjXYMKzz33HIcffjiFhYUsWbKEBx98kMWLF7Ny5UqaNm0a1WMtXbqUzp07h7VPhw4dWLp0KT1DXChujOF3v/sdI0eOZNq0adGq5gHqKq+kpCSef/55hg4dys0338y//vWv8nU+n4/LLruMFi1a8NRTTx20rLfeeosOHTrQsmXLqNXvxBNPZOnSpcydO5f77rsvauWGK9IGbQJQXMW6Ime9UkrVi7xf8pg/dT4//vfH8mXNOrXgxLuOZ9Blg0hM0b5ASimlVDj69evH0KFDARg5ciRer5d7772Xt99+mwsvvDCqxzrmmGPC3iclJaXK/USEd955J9JqxVS/fv245557uO222zjnnHMYM2YMAI8//jiffvopc+fOpVUNriXwn+mNpoyMDI455hh+/PHHg29chyLtcvwdcHUV637vrFfV2LnTTsodNK/4VLy3mI/v+Jin+jxV3phNappE3+tOYtTb/4+hfxiqjVkX0O+Xu2he7qJ5uUtpqZ3ikb/xuHHjRgCKioq444476N69O8nJyXTq1IlrrrmG/Pz8SvstXLiQESNGkJmZSZMmTejatSvnnHMO+/fvL98mVJfjrVu3ctVVV9GlSxeSk5Pp2LEjEyZMYMcOe8u9qrocf/rpp4waNYr09HTS0tI49thjmTt3bqVt/N1xFy1axNVXX03r1q3JzMzk7LPPZtu2bTV6P5YvX86ZZ46nXbtWpKamMnjwYF577bWoHmfq1Kkcd9xxXHHFFezevZuffvqJu+66iyuvvJJTTz21RvUMZcSIEfTr14+lS5dy7LHH0qRJE7p168Zzzz0HwNy5cxkyZAhpaWn079+fDz/8sNbHqkuR/oX3EPC2iHwDvABsBzoAFwCDgDMjLL/BK9IbHLmK5hVfjM/w3fPfseD2BezL2le+fOAlAxn14Ch+3JpOqYlhBVVY9PvlLpqXu2he9evDGz4k69usWu/v9dp5QpT6OrYf1J6xj4+NSlnr1q0DoE2bNhhjOPPMM1mwYAF33HEHw4cP5/vvv2fatGksXbqUpUuXkpKSwoYNGzjttNMYPnw4M2fOpGXLlmzdupUPP/yQkpIS0tLSQh5r69atDBs2jNLSUu68804GDBhATk4O8+bNIy8vj3bt2oXcb/HixYwePZoBAwbw7LPPkpKSwowZMzjjjDN4+eWXmTRpUqXtr7jiCk477TReeuklNm/ezC233MJFF13EwoULq30vFi1axNixYxk69Ggef/xp2rVrwSuvvMKkSZPYv38/l156aVSO4/F4+M9//sPAgQO59tprWb9+Pe3bt+exxx6rdr+ayMrK4rLLLuPWW2+lc+fOPPHEE0yePJnNmzfzxhtvcOedd9KiRQvuuecezjzzTH755Rc6duwY8XGjKaIGrTFmjohcBDwMPBKwaitwkTHm3UjKbwxS9S4hrqJ5xY/NSzfz4fUfsm1ZxS+bnY7uxNj/G0vno+31N6k5Ve2t4pF+v9xF83IXzat+ZX2bxcbFG2Ndjajwer2UlZVRVFTE4sWLue+++0hPT2f8+PHMnz+fefPm8fDDD3PLLbcAMHr0aLp06cKkSZOYPXs2V155JV9//TVFRUU88sgjDBw4sLzsCy64oNpj//nPfyY7O5vvvvuOPn36lC+fOHFitfvdfvvtZGRk8Mknn9CsWTMATj/9dAYNGsTUqVOZOHEiIlK+/dixY/n73/9e/jw3N5dbb72VrKws2rdvX+VxpkyZQt++ffngg4UkJiaSlgZjxowhOzubO++8k0suuQSPp6JDbG2PA9CzZ08eeeQRpkyZgsfjYdGiReWvLRL+HwiOPPJIAIYOHUrbtm156KGHWLduXXnjtWPHjgwaNIg333yTa6+9NuLjRlPEffCMMS+JyMtAbyATyAHWGmP0vEgNtG0b6xqocGhesbdn6x4W3L6A71/4vnxZsw7NOPkvJzPgwgGIp+I/KM3LXTQvd9G83EXzql/tB1XfODkY/1/RAW2uiERSn+DrU/v3788//vEP2rVrV35mMfhM5LnnnsvkyZNZsGABV155JYMGDSI5OZmrrrqKKVOmMHz4cHr06HHQY3/wwQeMHDmyUmP2YAoKCvjyyy+5+uqrKzX4EhISuPjii7nttttYu3Ythx9+ePm68ePHVypjwIABgO1WXVVDc926dfz44488+uijJCUBlFFWZtedeuqpvPfee6xdu7ZS3WtznEBXX3019957L/369eOEE0446PY10aFDh/LGLECrVq1o27Yt3bp1q3Qm1v86/F3N40lULipzGq+xvRpYKdWgGWP4ZuY3zLtxHiV7SwBISEng2KnHcvztx5PcLI6GhFRKKdWoRdq913/9bFIcDMo/e/Zs+vTpQ2JiIu3ataNDhw7l63JyckhMTKRNmzaV9hER2rdvT06O7SrVs2dPPv74Yx5++GGuueYaCgoK6NGjB9dddx3XX399lcfetWtX2KMe5+XlYYypVE8/fwPNXy+/zMzMSs9TUuwt/QoLC6s8jv8a3qlTpzJ16tSQ2wTfIqc2xwmWnJxMchSHVQ41oFRycvIBy/3HLIrD6xciatCKyG1AZ2PMAeedReQJYKMx5tFIjtHQbdpk51VcAqDijOYVG3u37eXdK9/l5/d/Ll/W55w+jH5kNBndM6rcT/NyF83LXTQvd9G83KXE/m4bFw3aPn36lI9yHCwzM5OysjJ27dpVqVFrjCErK4thw4aVLxs+fDjDhw/H6/WyfPlynnjiCW644QbatWvHeeedF7L8Nm3asGXLlrDqm5GRgcfjYfv27Qes8w/A1Lp167DKDMVfxh133MG4cWcD0KRJ5W169+4d8XHUwUU6yvHvgFVVrPvOWa+UUrVijGHlSyuZ0W9GeWM2vWM6F7x/ARPfmFhtY1YppZRSdWvUqFEAvPDCC5WWv/nmmxQUFJSvD5SQkMDRRx9dfu/UFStWVFn+uHHjWLRoEWvXrq1xnZo2bcrRRx/NW2+9VenMp8/n44UXXqBz584cdthhNS6vKr179+bQQw/lu+++Y8iQoQwZMpShQytP6enpER9HHVykXY4PAX6qYt06oFuE5Td4Ie4BreKY5lV/CnYVMPfqufzw5g/lywZcNICxfx9Lk4wm1exZQfNyF83LXTQvd9G83MXpiRr3Ro8ezZgxY7jtttvYs2cPxx13XPkox4MHD+biiy8G4Omnn2bhwoWcdtppdO3alaKiImbOnAnAySefXGX599xzDx988AEnnHACd955J/379yc/P58PP/yQm266qdJ1sIEefPBBRo8ezciRI5k6dSrJycnMmDGDVatW8fLLL1caECoS//znPxk3bhxnnTWGSy65lK5dO5Gbm8sPP/zAihUreP3116NyHFW9SBu0pUBVwwy0A3RgKKVU2H58+0fe+/17FOwsACCtTRqn//N0+pxV80EhlFJKKVW3RIS3336b6dOn89xzz3H//ffTunVrLr74Yh544IHya0QHDRrE/PnzmTZtGllZWTRr1ox+/foxZ84cTjnllCrL79SpE1999RXTpk3joYceIicnhzZt2nD88ceHvPbT78QTT2ThwoVMmzaNSy+9FJ/Px8CBA5kzZw6nn3561F7/yJEj+eqrr7jvvvu5+eYbyMvLIzMzkyOOOOKgIzGr6JFIBiMWkY8BjDEH/LTirPMYY06qffUiJyJ9gVWrVq2ib9++saxKSMuW2XnAJQYqjmledasov4gPrvuA75+vGMG4z9l9OO3p02japmnY5Wle7qJ5uYvm5S6aV9345ZdfAGo0Ym84CuzvuTQN/78+FQPxnNesWbO47LLLWLduHYcccgiJiVEZExiwl4Z5vV5mz57N5ZdfzrJly6q83trvYN+Z1atX069fP4B+xpjVNalHpK/oUWCuiHwCzMDef7Yz8AfgBODUCMtXSjUS6+ev553J77B3614AUlumMu7JcfS/oH/UugYppZRSSjVGvXr1AuzI0dEYFAvgnXfe4ayzzopKWZGIqEFrjPlQRK4C/gq8gu1iLMBu4EpjzLzIq9iwZeiYNq6ieUWft8TLvJvnsezJZeXLeo3rxRn/PoPmnZpHVLbm5S6al7toXu6ieblLQkKsa6DCEc95nXHGGSxbVvE3VsuWLaNW9ogRIyqVfcQRR0St7HDUukErIglAT+BNbGP2WKANsAv43BhTEJUaNnA6+Jm7aF7RtS9rH69NeI3Nn20GILlZMmP+NobBlw+OyllZzctdNC930bzcRfNyl3huIKkDxXNemZmZB9z/Nlpatmx50C7G9SGSM7QCrAHOMMZ8AHwUnSo1LnF4b2JVDc0rerZ8uYXXzn6NvdtsF+OOwzoy4dUJUb0Vj+blLpqXu2he7qJ51Z1IxqOpis8X9SJVHdK8as4YE/VLyWp9H1pjTBmQFUkZCnbutJNyB80rOlY8u4JZJ8wqb8wOumwQly25LOr3ldW83EXzchfNy100r7rh8Xjwer1Rb9SWldlJuYPmVTP+QaTipkHreAW4JBoVUUo1fN4SL3OnzOXdK97FW+LFk+jh1KdOZfyz40lMjd6oe0oppVR9SElJwev1snPnzjo5U6tUQ1FWVsb27dvxer00a9YsqmVH+hfkt8AkEVkIvAVsJ+jes8aYtyI8RoOmNzp3F82r9oKvl23atinnvnEuhww/pM6OqXm5i+blLpqXu2hedaNdu3YUFxeTm5vL7t27SUhIiMrZJ38XVo/2g3QFzatqxhh8Ph9lzinstLQ0MqI8Sl2kDdrZzrwTMCLEegPE8WXSSqn6sOWLLbx2TuXrZSe9NYnmnSMbxVgppZSKJY/HQ9euXdmxYwfFxcX4onQxpb/7anJyVIpTdUzzqpqIkJiYSJMmTWjevDnp6elR73IcaYN2ZFRq0YitX2/nrVrFth6qZjSv8K14ZgXvX/M+3hIvYK+XPW3GafXSxVjzchfNy100L3fRvOqOx+OhQ4cOUS3TfyeUYcOiWqyqI5pXbEV6H9rF0aqIUqph8ZZ4+eD6D/j66a8B8CR6GPt/Yxl69dCo/zKnlFJKKaUaJx2FJcY6dox1DVQ4NK+aKdlXwitnvsKvC34FoGm7pkx8YyJdj+9ar/XQvNxF83IXzctdNC930bzcRfOKrYgbtCJyKPB7oA/QJGi1McaMivQYDVlSUqxroMKheR1cYW4hL576Ilu/3ApAp6M6MfHNiTG5XlbzchfNy100L3fRvNxF83IXzSu2ImrQikg/4AtgK9AL+B5ojR0kajOwPtIKNnS5uXbetm1s66FqRvOq3r6sfTx/yvPsXGlvdnjoqYdy7hvnktQkNv/Sa17uonm5i+blLpqXu2he7qJ5xVakg0s/AMwD+gICXG6M6QKcAaQCd9WmUBFJF5GHRWS+iOwSESMi0yOsa1zau9dOyh00r6rlb8znueHPlTdm+07sy6T/TopZYxY0L7fRvNxF83IXzctdNC930bxiK9IG7RDgP4B/jHIPgDFmLvAo8GAty80ErgJSgLcjq2J8S0y0k3IHzSu07LXZPDf8OXLX2Z8oB18xmLNfOpuE5NjetUvzchfNy100L3fRvNxF83IXzSu2In3rM4BcY4xPREqd537LgT/XstyNQIYxxohIa+CKCOsZt/QicnfRvA6U9W0Wz5/yPPt37QfgNzf/htGPjI6LkYw1L3fRvNxF83IXzctdNC930bxiK9IG7VbsNbMA64ATgI+c5wOAfbUp1BhjIqyXa+hF5O6ieVW2+fPNvHjqixTvLgZgxD0jOOGuE+KiMQual9toXu6iebmL5uUumpe7aF6xFWmD9lPgWGy34BeBu0WkA1ACXAq8EGH5YRGRtkCboMU9AVauhJQUSE+HoiLYudNZ2dPO/Tcc79jRfihzc21f+MTEimX+bXr2hNJS2LYNyspsma1aVSwLVW7btpCaasvMy6vYZsUK2LoVjjgCujp3NNm509YxNbXi4vJNm0KXm5ERf68pcJuG9prWrIF27WDw4IbzmmqbU9Hq9SyZ8iplhaUA9LlpDP2vOYa8vPh5Td98Y9f36tV4c3LTa1qxApKT4aSTGs5rinlOzQytWngpLSwja0sZ4vPSvUsZeL1s/MWLeMvIbOklNclLwe4y9uR5EZ+XLh294PWydZOdt2/jBZ+P/BwvpUVekhO85Oz0IsZHTlO7rn1bL+LzsWObF4yPZqleUpN9lBV72bPbh/h8tMn0gc9H9k4fYnw0T/eRID4K9/koLvSSgI/mzXx4PIa8bB8YH61a+PB6Dft2+zBeH8mJPpqk2GUFe2w5LZob8PnYvdsgPh9NUg0JCYbSYh8lRQaMj+bN7DZ79xjA0LSJD4yhuNDg9RoSxEdqsgFjKCyw65qm2ecFBQYxhqREQ2KCwVfmo6TYrktrYuf799ttklPAg6G01OAtMwiGlGQ7Lyq0v9enphiMz1BabDAGEjy2XOMzlJSCGLsPQLFznMRE8IjBV2bwegHnWBhj6wIkJ9p5WZnB+EDEkJgAYEjYa9d5m9p5aYmdezwGjweMz9YXIMkpp9SpS0KiHSjF5zX4jLMsARAoK7XbJibauvjrJgIeD+AzeJ0L0xI9Tv2cbTweEAFjwHjtugTnL1N/XTweezyfD4w9JB5xXovPlpPgXN3i9VKxD/a9Nc6xPQl2W5//udjC7DYVxwLsNk79yp9jy/T/Xltejr9+zqmY8t9zja1v+bHsW1H+3mAflj8IXtbCeeC8JETsazcB25TXz3nvRALeT1PxPLi+/uMEbuN/fsD7EKLcUNtUVW6obcIp1y2vqbkTlM/jnte07qE3KT5pXNz9HbF7N2GLtEF7P+A/yf4XoD1wIfb79howNcLywzUFmFbPx1Sq0cla9APf3vUmvlIv4hH6/fEMupwxONbVUqpuGIOUliLFRXgSivFQRFJuEU2yi5HSEhJzi6GkhOYb7POUFnbeMrsY7/4SkikhLaUESkvokF2Kp7SEJk1LkLJSumbbeaqUkCSlNCsqofm+UsRbRlpyKVJaSu99ZXjKSkn2lCHeUloUleIrLcPjLSXRlCHeMgaVlCFlZXiMnbcps8vF/1cM9vYDgTKCnrfmQC2CnrcKeNy9irerWYhlmUHPmwY9Tw+xT1oNyg3eL7WKOgVKCXoefL/BUOUkh9gmeL/g9yrUPsEncUJtE7ysJn+oBW8Tap/g+oUa4SC4fsHbhNqnNtuEet3Bggd5CTXoS022Odg+0Tp2TUaMiMaoEqH6PwWXW5tt6qrcUNvUVbmxfE3B3zlXvKaA/x/cTuK9d69zDe0u4G5jzPSDbFvVGdp3Vq1aRd++feumkhHwD/PdqlX126n4oHnBd7O/453J72C8Bk+Sh3NeOocjJhwR62qFpHm5S1h5eb1QUGCn/fsPPi8srH4qKqp4XFxsn/vnRUV1+rrVQfhP9fmnwOfBj/3PQ82rWlaT5zVdF3iqJZz11T0/2OPqlgXMi0vtNinJVW8TspyqHke6PvjxwZ6Hs6665ZFuG87+ValBuYVFdlmTmvxKE+7xVdQVOv9N1DiveHDZZdCnT6xrcYDVq1fTr18/gH7GmNU12adBjcdljNkJ7AxcFi/X8lWltDTWNVDhaOx5fTPzG+ZcPgeAxCaJTPrvJHqN6RXjWlWtsecVd0pKYM8e259o9+6Kx848adsePPv2gm8v7Ntnp717K8/9j93cyBSxfauTkirP/Y/9U2Ji5XmoxzWdEhIqP/Y/D/W4qsnjqfQ8Z3cCeBLIbOOpvD7UPPhxTac4/z/cTfJ32Hm7drGth6qZPU5eTTQvV9C8YivsBq2IXBLO9saY2eEeozHx9xnX/2DcoTHntXbOWt698l0AUpqncMHcC+h6fNcY16p6jTmvOlNSAtnZkJNjLyLNzbXzwCl4WX6+bbQepBEaqttpVKWkQJMm1U+pqRVTSsqBjwOXJSfb5ykpFQ1S/+PAZf7n/oZrQnDnL3fa9I2dZ+rVBq6g/x66i+blLppXbNXmDO0sKq5zP9hPpwbQBm01yspiXQMVjsaa16bPNvHGpDcwPkNik0Qu/PBCuvymS6yrdVCNNa+w7N8PO3ZAVpadZ2dXTLt2VX6enW0bpnXIl5CIp3m6HS2iWTM7VfW4aVM7paVVngcvS0uzjVX/aBgqKvT75S6al7toXu6iecVWbbsc7wFeBV4B9kavOhVEZBx23Aj/j/ZHiMgE5/H7xpj9dXHc+pZe56ckVDQ1xrx2rt7Jy2e8TFlRGZIgnPvaua5ozELjzAuwwxfm5MCWLXbKyqposAY/3hvFf8JFoGVLOyRiRoa9GDYjwy5r0QKaNw89dx6v3d4ck5LK4YdHr0qq7jTa75dLaV7uonm5i+YVW7Vp0J4ITAYuwo5o/Dow0xjzaTQrBvwDOCTg+bnOBHZwxQ1RPl5M6GA17tLY8tq9eTcvjn2RojzbVfSMf5/BYacfFuNa1VyDzMsY2xjdvLmiwbp1a8Vj/1RcHNlx0tKgdevKU5s2FY8zMw9suDZvHtFZ0OBRd1V8a5DfrwZM83IXzctdNK/YCrtBa4z5H/A/EbkWOB/buF0iIuuAZ4HZxpjtkVbMGNMt0jLcQAetcZfGlFdhbiEvjHmBPVtsF9OTHjiJwZe562I51+aVlwe//loxbdhQ+XFhYe3KbdEC2re3U7t2FY/9z9u1szdMzcy0Ddp65tq8GinNy100L3fRvNxF84qtWo9ybIzZB/wb+LeIHAFcDtwE3CsiDxtj7opSHRs0/0XknYJvEKjiUmPJq3R/KS+f8TLZP2QDcNS1R3H87cfHuFbhi+u88vJg7Vo7/fSTna9fbxut4d5VPDHRvsjOnQ+cOnWydzdv184OZBTH4jovdQDNy100L3fRvNxF84qtqNy2xxizRkRmYu+VfTUQnzelVEodlK/MxxvnvcHmzzcD0HdiX8Y+Pjbub4EVl0pL4eefKxqsgY3X7Oyal5OeDt27V0zdukHXrtCli220tm2rAx4ppZRSqlGKqEErIs2p6HY8FPgZuAv4T+RVaxx69ox1DVQ4Gnpexhje/f27/PTuTwB0H9WdM2efiXjc2Zitt7yMsdexrlwJ339fMf/xx5r1Q/J4bEO1Vy/o0cM2WAMbsK1aNYr7cTb071dDo3m5i+blLpqXu2hesVWrBq2IjMQ2Ys8BvMAbwFTn+lqllEst+tMivp35LQDtB7dn0luTSEyJSkeOhmP/fttY9U8rV9opL+/g+7ZuDb172+mwwyrmPXva+5QqpZRSSqmwhP2XqjP4U3fgC+Ba4BVjTEG0K9ZYrF9v5zo6mjs05Ly+fOJL/ne//U0qo0cGF75/ISnN3d3IijivsjJYvRq++gqWLbPzVavA661+v/btYcAA6N8f+vWDww+3DdeG+MGJoob8/WqINC930bzcRfNyF80rtmpz6qUH9j606cD1wPXVXFtnjDEDa1k3pVQ9Wf3aaj68/kMAmrZtykXzLqJZ+2YxrlU9M8b+j+RvuC5bBitWVD+icFoa9O1b0Xj1T23a1F+9lVJKKaUasdo0aJcAJtoVaazato11DVQ4GmJem5du5r8X/xcMJDdL5oL3L6BVr4bxE2O1eXm98O23sGQJLF4M//sf5OZWvX2zZjB0KAwbZqdBg+z1rgkJUa5149UQv18NmeblLpqXu2he7qJ5xVZt7kM7og7q0WjF+V00VJCGllfBzgJeP/d1vCVePEkeJr41kY5Hdox1taKmUl6lpfaM6+LFdvr0U9izJ/SOSUm2wTpsGBx1lJ337q2N1zrW0L5fDZ3m5S6al7toXu6iecWWjvYSY3v32nm7drGth6qZhpSXz+vjrQvfYu9W+6LG/G0MPUc3oGH6vF5Kl3xFky8WwarF8NlnUFDF5f6dOsGJJ8Kxx9oG7IABOkhTDDSk71djoHm5i+blLpqXu2hesaUN2hirycCoKn40pLwW372YXz7+BYB+5/dj2JRhMa5RFOzaBfPmwfvvw7x5dK6qC3G3brYB65+6d28Ut8WJdw3p+9UYaF7uonm5i+blLppXbGmDVqlG6OcPfmbJvUsAaN2nNWf86wyqGdwtfvl8thvx++/b6auv7OBOwQ491DZcTzjBzrt2rf+6KqWUUkqpqNMGbYzpjZjdpSHklb8xn/9e9F8AkpomMfHNiSQ3S45xrcKQnw/z59sG7AcfwM6dB27TogWccgr7TjiV0pGnkNG34VwX3JA1hO9XY6J5uYvm5S6al7toXrGlDVqlGpGy4jJeP/d1CnPtrWjGPzOeNn1ccIuZPXtgzhx49VXbpbi09MBt+veH006DU0+FY46BpCRKqhm0WCmllFJKuZ82aGNMb8TsLm7Pa/7N89m2bBsAw64ZRr/z+sW4RtUoKID33rON2Pffh+LiyuubNoXRo2HcODt16XJAEW7Pq7HRvNxF83IXzctdNC930bxiSxu0SjUSK19aybKnlgHQ6ahOnPLXU2JcoxAKC2034ldftY3Z/fsrr2/VCs45ByZMsNfC6kjESimllFKNWsQNWhG5BPAZY14IWn4R4DHGzI70GA2Zjk3jLm7Na9eaXbx71bsANGnVhHNfP5fElDj5Pcvng48/huefh3feqRj73q9FCzjzTDjvPBg1yt4jtobcmldjpXm5i+blLpqXu2he7qJ5xVY0/qKdBZQBLwQtfw7wANqgVSqGSvaV8NqE1ygtKAWBs188mxZdW8S6WpCVBTNnwr//DRs2VF7XrBmMHw+TJsGYMXomVimllFJKhRSNBu1kwBti+eWAC+8DUr/8A7TqjZjdwW15GWN498p3yf4hG4AT/nQCvcb2il2FfD746CP417/sIE9lZRXrmjSB00+3jdhTT7XPI+S2vBo7zctdNC930bzcRfNyF80rtiJu0BpjZlWxXM/M1kBRUaxroMLhtryWzVjGqldWAdBjdA9O/POJsanI9u3w3HOhz8b27w+//z1cdJHtXhxFbsursdO83EXzchfNy100L3fRvGIrTi6ia7xSU2NdAxUON+W15cstzLtxHgDNOzfn7BfPxpPgqb8KHOxs7HnnwVVXwdFHg9RNZw435aU0L7fRvNxF83IXzctdNK/YikqDVkTaAocAB/QRNMYsicYxGqq2bWNdAxUOt+RVtLuINya+ga/UhyfRw4TXJtC0TdP6OXhpKbz0EvzlL/DDD5XX+c/GXnghtGxZ51VxS17K0rzcRfNyF83LXTQvd9G8YiuiBq2IdACeB0aGWg0YICGSYyilwvfRLR+xe9NuAEY/OpouvznwHq1RV1AAzz4Ljz4KmzdXLK+ns7FKKaWUUqrxifQM7ZPAYOA24HugOOIaNTKbNtm5XkTuDm7I65cFv7Di3ysA6HFyD46+7ui6PWBuLjz1FPzf/0FOTsXyDh3gxhvhyivr5WxsKG7IS1XQvNxF83IXzctdNC930bxiK9IG7YnAVGPMc9GojFIqMiUFJbx7pb3fbFJaEqf/63Skrs6Ibt0Kf/sb/POfsG9fxfJeveDWW+Hii/WiEqWUUkopVacibdAaYPNBt1JV6tkz1jVQ4Yj3vBb+cSH5v+YDMOqhUWR0z4j+QX76CR55BGbPhpKSiuWDB8Ptt8M550BCfFxpEO95qco0L3fRvNxF83IXzctdNK/YirRB+zpwOvBxFOqilIrA5s838+XfvwSgy3FdOOqao6J7gG3b4E9/glmz7AjGfiNG2IbsKafo9bFKKaWUUqpeRdqgfQ34t4h4gHeBnOANjDErIjxGg7Z+vZ23ahXbeqiaide8yorKmHP5HDCQkJLA+GfHI54oNS737rVnZP/6V9i/v2L5b39rG7LHHBOd49SBeM1LhaZ5uYvm5S6al7toXu6iecVWpA3ahc78/wHXBK3TUY6VqieL711M9o/ZAIyYPoLWvVtHXmhZGcycCX/+M+zYUbH8jDPggQegX7/Ij6GUUkoppVQEIm3QXhaVWjRiGXVwiaOqO/GY1/ZvtvPZXz4DoMOQDhw79djICjQG3n/fDuy0Zk3F8iOPtLfkGTEisvLrUTzmpaqmebmL5uUumpe7aF7uonnFVkQNWmPMf6JVkcYqPT3WNVDhiLe8vKVe5kyeg/EaPIkexs8cjyfRU/sCv/kGpk6FhQsrlnXtCg8+aO8l64mg7BiIt7xU9TQvd9G83EXzchfNy100r9iK9AxtORE5DMgEso0xP0er3IauqCjWNVDhiLe8Pn/kc7K+zQLguNuPo/3A9rUraPNm+OMf4YUX7BlagObN7bLrrnPt7XfiLS9VPc3LXTQvd9G83EXzchfNK7YiPt0iIueKyEbgB+BT4EcR2SgiEyKuXSOwc6edlDvEU1671uxi8d2LAWhzRBtOuOuE8Avxeu1gT717w/PP28ZsYiJce60d4eDWW13bmIX4yksdnOblLpqXu2he7qJ5uYvmFVthNWhF5NKg56cCrwC7gduBS4A7nOeviMi46FRTKRXI5/Ux5/I5eEu8iEcYP3M8iSlhdrhYtQp+8xvbxbiw0C47+2xYvRr+/ndoHYWBpZRSSimllKpD4XY5/oeIdDbG3Oc8/yMwHzjNGFN+Y0oReQT4ALjLmasq6I2Y3SVe8vrqia/Y8sUWAI6+4Wg6H9255juXlNhrYu+/H0pL7bJeveDf/3bVgE81ES95qZrRvNxF83IXzctdNC930bxiK9wux8OBy0TkX87zQcCMwMYsgDHGADOAgRHXUClVSd4veSz8ox20KaNnBifde1LNd162zI5WPH26bcx6PHDLLfD99w2uMauUUkoppRq+sM7QGmOWi8iRwCxnkRdIrmLzJMBXxTrl0Bsxu0us8zLG8O6V71K6355ZHf/MeJLSkg6+Y2GhvZ/sY4+Bz/la9u8Pzz4Lw4bVYY1jK9Z5qfBoXu6iebmL5uUumpe7aF6xFfagUMaYfGPMmc7TZcCtItIkcBsRSQGmAl9GXEOlVLkVz6zg14W/AnDk74+k24huB99pyRIYMMDeQ9bng6QkuPtuWL68QTdmlVJKKaVUwxfpbXumAQuAX0TkdSAL6ACcjb2FTxh9IRunjh1jXQMVjljmtT9nPx/f+jEAzTs3Z/TDo6vfYc8euP12+Mc/KpYddZQ9K9uvXx3WNH7o98tdNC930bzcRfNyF83LXTSv2IqoQWuM+VRETgEeAq4BBNvN+EvgfGPM55FXsWFLqkFvURU/YpnXknuXUJRvb3Q27slxpDRPqXrjZcvg3HNh40b7vEkTuPdeuOEGSEio+8rGCf1+uYvm5S6al7toXu6iebmL5hVbkZ6hxRizGPiNiKQBGUCeMWZ/xDVrJHJz7bxt29jWQ9VMrPLK+TmHZU8tA6DbiG70Ht879IbG2DOyN9xQMYLxiBF2BONeveqlrvFEv1/uonm5i+blLpqXu2he7qJ5xVbEDVo/pxGrDdkw7d0b6xqocMQqrwV3LMBXZgdzGv3oaETkwI327YOrroKXX7bPExPh4Yfh+uvtaMaNkH6/3EXzchfNy100L3fRvNxF84qtsBu0InIJMNcYk+M8rpYxZnatatZIJEbtJwVVH2KR16bPNvHDmz8AMODiAXQ8MsSFGmvWwIQJ8IPdjk6d4LXX4Nhj67Gm8Ue/X+6iebmL5uUumpe7aF7uonnFVm3e/lnAMUAOFbfvqYoBtEFbDb2I3F3qOy9jDPNvng9AYmoiJ90XYpy1l16CK6+E/U4HidGj4cUXoU2beqxpfNLvl7toXu6iebmL5uUumpe7aF6xVZsGbXdge8BjFQG9iNxd6juvNa+vYeuXWwE45sZjaNG1RcXK4mK46SaYMcM+F7H3mv3TnxrVwE/V0e+Xu2he7qJ5uYvm5S6al7toXrEVdoPWGLMx1GNVO3ojZnepz7zKisv4+HZ7m560Nmkcf/vxFSs3bLCjGC9fbp9nZsILL8DYsXVfMRfR75e7aF7uonm5i+blLpqXu2hesRXRSDEi0kZEDqti3WEi0jqS8pVqzJY9tYz8X/MBGDF9RMVteubOhSFDKhqzRx8NK1ZoY1YppZRSSjU6kV7C/BSwG7gyxLqbgebA+REeo0Hr2TPWNVDhqK+8CnMLWXLvEgAye2cy5Moh9pY8d99tJ7/rroNHHoHk5PqpmMvo98tdNC930bzcRfNyF83LXTSv2Iq0QXsccH0V6+YB/xdh+Q2e/1ahyh3qK68l9y2hKL8IgNEPjyZBDFxxBcycaTdo1gyefRYmTqyfCrmUfr/cRfNyF83LXTQvd9G83EXziq1IG7StsaMdh5IH6DCrB7Ftm523axfbeqiaqY+8ctfn8tWTXwFwyImHcNioznDWWfDee3aDnj3t48MPr7tKNBD6/XIXzctdNC930bzcRfNyF80rtiJt0O4A+gOLQqzrT9WNXeUoK4t1DVQ46iOvBXcswFfqA+CUu45CRo+GpUvtyiFD4P339V/MGtLvl7toXu6iebmL5uUumpe7aF6xFWmD9kPgjyLyoTHmJ/9CETkUuAN4L8LyG7z09FjXQIWjrvPa/Plm1ry+BoD+Z/ag47XnwI8/2pUnnwxvvaUfmjDoW+Uumpe7aF7uonm5i+blLppXbEXaoJ0OnA58LyKLgC1AZ2AkkA1Mi7D8Bk+H93aXuszLGMP8m+cDkJDs4aTP74Odzu9E558Ps2bp4E9h0u+Xu2he7qJ5uYvm5S6al7toXrEV0W17jDHbgKHAi8AA4HfO/AXgKGd92ESkmYg8LiLbRKRIRL4VkfMiqWu8Ki3VC8ndpC7zWvPGGrZ8sQWAY+RLWvobszfeaO8xq43ZsOn3y100L3fRvNxF83IXzctdNK/YivQMrb9Re3kU6hLoLWAYcDvwE3AB8LKIeIwxL0X5WDHlv4i8U6fY1kPVTF3lVVZcxoLbFwDQhP0cX/yxXfHIIzB1anQP1ojo98tdNC930bzcRfNyF83LXTSv2Iq4QRttInIqMBq4wBjzsrN4kYgcAjwiIq8aY7yxq6FS0bdsxjLyfskDYASfkJrohZmz4eKLY1wzpZRSSiml4lfYDVoR+TPwjDFmm/O4OsYYc2+YhzgL2Ae8HrT8OeAl4Gjg8zDLjEvefYV0TswHoPDX2NZF1Uxn5xsTzbxK9pWy5M55gNCKHI5M+wHefBfGjo3eQRopvdG5u2he7qJ5uYvm5S6al7toXrFVmzO007GjG29zHlfHAOE2aPsBPxhjggfA/j5gfcgGrYi05cB73/YEWLkSUlLsKGRFRbBzp7PS+QCuX2/nHTtCUhLk5sLevZCYWLHMv03Pnraf/LZtdpju9HR7Mbh/Wahy27aF1FRbZp49EYdn5ou89/TWcN4b1WAJAKPSv2DzswvYlTmMxG/q7rMXvE3Xrna+c6f9fqSm2v0ANm0KvU9GRnx9n0K9prw8yM623/2G8poaYk7+17Rjh93+0EMbzmtqiDn5X1NSUuVtGsJraog5+V/TypV2PmRIw3lNDTEn/2vyDzLUkF5TQ8zJv8+KFXberVvDeU2xymn3bsIWdoPWGOMJ9TiKMoFfQizPDVhflSnoyMrKpbqmZNH2w+fJbtUb9sa6Ng3Dhg32H/VevWJdE1UTW7fasc/8DVoV3zZssPPM6v5XVnFjq/P7ub9Bq+Lbr05PsBYtYlsPVTP+71e3bjGtRqMlxphY16ESEfkJWG+MGRe0vAP2rPAdxpiHqti3qjO076xatYq+ffvWRZVrLWfecr56aCFgf/1Q8c//i1e080pslkLf6RNp0qNDdAtu5JYts/Nhw2JbD1Uzmpe7aF7uonm5i+blLppX9KxevZp+/foB9DPGrK7JPhENCiUiqUCyMWZPwLKJwBDgY2PMx7UoNofQZ2H9d3jKDbEOAGPMTmBnUB1rUYX6kTlmKEccPhSAQw6JcWVUjWzcaOealzv4u9Eod9C83EXzchfNy100L3fRvGIr0lGOnwcKgEsBROQ64HFn3S0icoYx5v0wy1wJnC8iiUHX0fZ35qtqX934k5oa6xqocGhe7qJ5uYvm5S6al7toXu6iebmL5hVbkV4DexR2gCi/64AXgJbYe8nW5gaa/wWaAecELf8dtsvxl7UoM27t3Wsn5Q6al7toXu6iebmL5uUumpe7aF7uonnFVqRnaNsAWwFEpDvQAzjfGLNHRJ4FZodboDHmAxH5CPiHiDQH1gHnA2OBixraPWj912Qqd9C83EXzchfNy100L3fRvNxF83IXzSu2Im3Q7gf8468Nx94/drnzvAh7prU2zgbuB+7BXjv7I7ah/EotykoGWLduXS2rUrf8Q1mnpcW2HqpmNC930bzcRfNyF83LXTQvd9G83EXzip6ANltyTfeJaJRjEVmEbbjeCvwb2GGM+a2z7hJgujGmR60PEAUiMh54J5Z1UEoppZRSSilVY781xsypyYaRNmhPAt4DUoAS4GRjzGfOuleBBGPMhFofIApEpAVwIrAZW8d40xPb4P4tsD7GdVEHp3m5i+blLpqXu2he7qJ5uYvm5S6aV/QkA12AxcaY3TXZIaIux8aYhSLSBzgS+NYY80vA6oXAt5GUHw3OG1Gj1n0sBNxWaH1N77WkYkfzchfNy100L3fRvNxF83IXzctdNK+o+yacjSO9hhZjzEZgY4jl/4y0bKWUUkoppZRSqioRN2hFJAm4BBgFZALZwMfAC8aY0kjLV0oppZRSSimlQomoQetcn7oAGAIUAFnAsdjb7EwRkVHGmD0R11IppZRSSimllAriiXD/+4HewCRjTLox5lBjTDow0Vl+f6QVbAR2AXc7cxX/NC930bzcRfNyF83LXTQvd9G83EXziqFIRzneAvzVGPO3EOtuAm4yxnSOoH5KKaWUUkoppVRIkZ6hbQN8X8W674DWEZavlFJKKaWUUkqFFGmDditwfBXrjgO2RVi+UkoppZRSSikVUqSjHL8K3Ckie4H/GGNyRCQTuAi4E3gs0goqpZRSSimllFKhRHoNbQrwDnAKYIAybCNZgHnAb40xJVGop1JKKaWUUkopVUlEXY6NMcXGmLHAOOARYLYzH2OMGaeN2aqJSDMReVxEtolIkYh8KyLnxbpejZ2IpIvIwyIyX0R2iYgRkelVbDtERD4WkX0iki8ib4lIj3qucqMmIieJyEwR+VFECkRkq4i8IyJHhthW84oxERkkInNFZJOIFIpIrogsFZGLQmyrecUZEbnC+TdxX4h1mlcMicgIJ5tQ0zFB22pWcUJEjheR90Ukz/k38WcR+VPQNppXHBCRWdV8xyp9zzSz+lerLsci0gQ4EzgE2Am8a4yZF8V6NQZvAcOA24GfgAuAl0XEY4x5KaY1a9wygauwg5q9DVwRaiMRORz4BPgWe5uqVOAe4H8iMsgYo8O214+rsZn9H7AGO1DdzcAXIjLGGLMQNK840hLYDLyMHYOhKXAh8LyIdDPG3AeaVzwSkU7Ao9ixMVoErdO84sedwKKgZav8DzSr+CEiFwDPA68BlwD7gJ5Ax4BtNK/4cS/wdIjl7wLFwDLQzGLGGBPWhP2irQO8gM+Z8oBjwi2rsU7Aqdgu2ucHLZ+P/SMvIdZ1bKwTtru8vyt+ayen6SG2ew17r7HmAcsOAUqAv8T6dTSWCWgbYlkzIAv4WPNyxwR8AWzSvOJ3wv7RNgeYBewLWqd5xT6fEc7/VxMOsp1mFQcT0AnbgJ2hebl3Ak50vnf3amaxnWrT5fg+54t4H3AacIMT0j9qUVZjdRb2H7LXg5Y/h/3B4Oh6r5ECwDiq20ZEEoHTgTeNMXsC9t2I/WX8rLqtpfIzxuwMsWwf9mxtF9C8XCIbOwaD5hWHnC7hJwJTQqzTvFxCs4orV2B7qPylqg00L1e4HNugnQmaWSzVpkE7GnjAGDPNGPOBMebvwGRggIi0i271Gqx+wA/GmLKg5d8HrFfxqyfQhND3YP4e6CUiqfVbJeUnIi2AIcBqZ5HmFWdExCMiiSLSRkSmAGOo+MNO84ojItIWeBy43RizJcQmmld8eUpEykRkj4jME5HAWytqVvHjBCAXOFzsGCplIrJTRJ4WkebONppXHHP+1pgALDDG/Oos1sxipDYN2vbAkqBln2C7amqDtmYysf+QBcsNWK/ilz+fqjIUIKP+qqOCPIX95ft+57nmFX9mAKXYMRj+BlxnjPmns07zii8zgLVU3QtL84oPu7FjCfweGAlcj+2l8omIjHG20aziRycgDdtT71XgZOygqpcA74uIoHnFu/OxjddnA5ZpZjFSm0GhEoDCoGVFEZTXWFXXrbX291JS9UkzjDMici92kKFrjTFfB63WvOLHA8AzQFvgDOBJEWlqjHk0YBvNK8ZE5BxsPoMPdikGmldMGWO+Ab4JWPQ/EfkvsBJ4GHsrxfLNqyuqDqqnDuTBDhZ0tzHmIWfZJyJSgu0RMQrY7yzXvOLT5UAO8N8Q6zSzelbbBmhvEQnsLpvgzA+3PypVMMasqOUxGrIcQp+FbeXMQ/2yo+JHjjOvKkMD5NdbbRQAIjINuAv4ozHmyYBVmlecMcZsAjY5T993/t94UET+g+YVF0SkGba3wxPANhFp6axKdta3xJ5l17zilDEmX0TeA/7g3J1Cs4ofOcChVP6hAeADbIN2CPCOs0zzijMiMgAYCvyfMaY4YJV+x2Kktg3aWVUsfz7gsWCDS6hi28ZsJXC+iCQGXUfb35mvCrGPih/rsb0U+odY1x9YZ4wpCrFO1RGnMTsdOyL1A0GrNa/49xXwB6AH8DWaVzxojb2M6GZnCpaH/YN7AppXPPOfZTDov4Xx5HvgmBDL/Xn50Lzi2eXO/Jmg5ZpZjNTmGtrLsINABU/By/3P1YH+i721yDlBy3+Hvcffl/VeI1Vjzo8Q7wJni0i6f7mIdMVeu/RWrOrWGDk3oZ8O3GeMuTt4veblCiOxf8D9onnFjSzs+x08zcNeZjQSuEvzil8ikoEdcfVbY0yRZhVX3nTm44KWn+rMv9C84pOIpAAXAV8ZYyqdgNLMYkcOflmMqgsiMh/bXeE27H19zweuBC4yxrwYy7o1diIyDjuoUDp2KPbXsfcVA3jfGLPfuXH2MmAF8BAVN85uBQwyeuPseiEiNwOPAh8CoRqzXzjbaV5xQET+BezBnpHdgT0LeC4wCXjEGHOrs53mFadEZBb2XqfNApZpXjEmIi9hu/Evx94G61DsmfWewDhjzMfOdppVnBCROcAp2NtgfoH9m3Aa9h7qZzjbaF5xRkQmAa8AVxlj/h1ivWYWA9qgjRHn+qT7gYnYD/mPwIPGmFdiWjGFiGzA3gQ7lO7GmA3OdkdibzXyG+w9NBcCU40x6+uhmgoQkU+w98cMyRgjAdtqXjEmIpdhe+/0AVpi78f9HfCMMeaFoG01rzgUqkHrLNe8YkhEbsf+MNQd2wMsF/gU+3fFsqBtNas44FzXPA24AOiA7aH3InagqOKA7TSvOOKckDoW6GCM2VvFNppZPdMGrVJKKaWUUkopV6rNNbRKKaWUUkoppVTMaYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaWUUkoppZQraYNWKaVUXBCRWSLyk4i0jnVdlFJKKeUO2qBVSikVMRG5VESMiBSJyCEh1n8iIquq2X8yMA4Ya4zJrsu6xgsR6ea8Z5dGsUwjItMDnh8hItNFpFu0jlFX6uL9UEop1fBpg1YppVQ0pQD3hbODiPQDHgJOM8b8Uie1ajx+AzwT8PwIYBrQLSa1Cc92bP3nxroiSiml3EMbtEoppaLpQ+ACERlY0x2MMauMMW2NMcvrsF61IlaTWNejpowxXxhjttT1cUQkLdplGmOKnfrvinbZSimlGi5t0CqllIqmh4Ec4C/VbVRd99IQ3WanO8sGiMjrIrJbRHJF5DERSRSR3iLyoYjsFZENInJriDKbi8ijIvKriJSIyFYReVxEmoY49pMi8gcR+QEoBn7nrDteRBY4x9kvIp+LyGk1eVNEpKOIvObsu1tEXgXaV7HtUBGZ47zGIhH5RkQm1vA45e+d896+7qxa5Kyr9J6LyMnOa9rjvKbPRGRUUJn+93+IiLwhInnA+oC6vuK874XO/OUqup13EpF/ichmJ4NtTnntnPUhPxM1ed8DuryPFJF/iEi2iOSIyFsi0jFEXSaJyFIRKRCRfSIyT0QGB23Tw3lt20SkWER2OPUYVJMslFJK1Q9t0CqllIqmvdgux2NE5KQol/0a8B1wDvBv4Ebgb8Db2G6qZwELgb+IyNn+nZyziYuxDdO/Y6/V/QtwKTBHRCToOGcCVwP3AGOA/4nIiU7ZLYDLgfOd1/quiEyqrtLOGd6PgVOAO4BzgSzg1RDbjgQ+A1oCfwB+C3wLvFqLa0vnAnc6j6/Bduct79IrIhcB84E92PdmIpALzAtu1DreAtY59f+Ds6wbsBa4Afte3QZ0AJZJwOBeItIJWIbN6DFsBjcAu4GMql5ALd73Z4BS4ALgVmAE8EJQmXcCLwNrnNd8MZCOzfmIgE3fB450yhmN/Ux8g81GKaVUvDDG6KSTTjrppFNEE7ZxaIChQDL2DN4yQJz1nwCrArbv5mx/aYiyDDA94Pl0Z9lNQdt94yw/K2BZIrATeDNg2e2AFxgatP85zv7jgo6dD2QEbbsU2AE0C1iWAKwENvtfZxXvzR+ccscHLf9X8HsA/ACsABKDtn0X2AZ4DpJD8Hs3wVk2Imi7NOyZ9DlByz3YBvSXId7/u2vwOUgAmgL7gOsClj8LlAB9qtn3gM9ETd/3gM/fU0Fl3uIsb+8874Jt8P49aLtm2Gt4X3WeZzr7XR/r75ZOOumkk07VT3qGVimlVFQZY0qAu7CN2xp1la2h94Ke/4BtdHwQcOwy7FnEwC6vpwOrgG+dLsqJIpIIzHP2HxFU7kJjTJ7/idMt+WjgDWPMvoBjeYHngc5A72rqPRLYa4yZE7T8pcAnItILOBx40XkeWNf3sWc+qztOOI4FWgH/CTqOB3sd9LDg7tjAm8GFiEgzEfmLiKwTkTKgDNuYbQr0Cdh0HLDIGPNDTStYy/c9+D3+3pn7Pw9jsD96zA563UXYs/gjnO1ysT/K3CIiN4nIYBHRv5mUUioOJca6AkoppRqkV4CpwP0i8laUyswNel4C7DfGFIVY3jzgeTugF/bMXCjB973dHvQ8A5AQy8GeNQV7Rq8qmdizjMGygp63c+aPOlMo0bpHr/9Yb1SzTSugIOB5qNf/EjAKuBd7Rn4P9keC94HAwbTaAOEOVlWb9z0n6HmxM/fXxf+6l1VxTB+AMcY43a7/jO1y/FcgV0ReBP5ojNlbo1eglFKqzmmDVimlVNQ5DYLbgI+Aq0Js4m+EpgQuFJHqGoa1lQ0UApOrWR/IBD3PwzZ0OoTY1z/gUHX3zs0BjgqxPHhQKH8ZD2KvVw1lbTXHCYf/WNcCX1SxTXAjvNL7IiItsGe/7zbGPBSwPAXbGA60C3tGNRyRvu+h+LefAGysbkNjzEbsdbuIyGHY3gbTsV3q/1D1nkoppeqTNmiVUkrVCWPMxyLyEfYs1+ag1TuwjdoBQct/WwdVeQ87OFKOMebXcHc2xhSIyJfA2SIy1RhTCOB0Qb0Ie+bxp2qKWARMFJHxQd2OLwg6zloR+RkYaIy5k+gIPkPp9xn2WuEjjDFP1rJsgz2DWhy0/Arsda6BPgAuFpHexpgaNcqj8L6HMg/bLbqnMeaALtTV1OUn4D4ROQcYEuYxlVJK1SFt0CqllKpLtwFfA22B1f6FzhncF4DJIrIeO3rxUQQ18qLkcewAUEtE5G/Y6yo9QFfsyMN/NcZ8eZAy7sCebV4kIo9iuzVPAfoB5xtjgs/qBpqNHZF5toj8EfgZOBV7PWew3wMfiMg8YBawFXu2sw8wxBhz7kFfbWWrnPlVIrIX+yPCr8aYHBG5FnsNbSts1+Od2K7BA4E2xpirqyvYGLNHRJZgrzPNBjYAJ2LPauYHbf5n7HW0S0TkAeygTi2BscBjxpgfqzhMJO97qDpvEJE/Y7vC98BeL5yH7Yp8FFBgjJkmIgOAJ7G3PfrZOe5J2B9gHgpZuFJKqZjQBq1SSqk6Y4z5RkReJnRD9WZnfit2lNmF2C6sG6JchwIRGY4d7fgqoDu2C/Im7O10Dno8Y8xi5zZEd2Mbmh5sI3y8MSZ4sKrgffc7+/4ftjFksLfLOQ/4PGjbRSJyFPBHbEM8A9tleQ32tkVhMcb8KiI3ANdjR5pOAC4DZhljXhCRTdj3/5/YW9fsxI5yPKuGh7jAeV0PY/+m+Ax7i5u5QfXY6ryuu7E5ZGK7IX/KgddGB+5X6/e9mjIfFJE12PfkfGy39yzsdbVPO5tlYQeFmoIdGdkAv2A/s0/U5rhKKaXqhoT546ZSSimllFJKKRUXdAh6pZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKupA1apZRSSimllFKu9P8BsF3Fe/YAF8gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 960x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#!/usr/bin/env python3\n",
    "from math import cos, pi, sin\n",
    "import math\n",
    "import sys, os\n",
    "import copy \n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# radio de la rueda\n",
    "radii = 0.035 \n",
    "# separacion entre ruedas\n",
    "l = 0.23\n",
    "\n",
    "simtime = 0\n",
    "# posicion x del robot (marco global)\n",
    "pos_x = 0\n",
    "# posicion y del robot (marco global)\n",
    "pos_y = 0\n",
    "# orientacion del robot\n",
    "pos_theta = None\n",
    "theta = 0\n",
    "\n",
    "# pose final deseada [x,y,theta] en marco global\n",
    "endPos = [1.0, 2.0, -np.pi/4]\n",
    "\n",
    "# variables para guardar el historial de la pose del robot de vrep\n",
    "vrep_move_x = []\n",
    "vrep_move_y = []\n",
    "vrep_theta = []\n",
    "\n",
    "# variables para monitorear el error de posicion en coordenadas cartesianas\n",
    "errorPos_x = []\n",
    "errorPos_y = [] \n",
    "errorTheta = []\n",
    "\n",
    "# variables para graficar \n",
    "t = []\n",
    "plotTime = []\n",
    "\n",
    "# se guarda la ultima pose del robot (adquira a traves del position_callback)\n",
    "vrep_move_x.append(pos_x)\n",
    "vrep_move_y.append(pos_y)\n",
    "vrep_theta.append(theta)\n",
    "\n",
    "# se calcula el error de posicion con respecto a los datos de vrep\n",
    "# en la practiva, los datos de vrep deben corresponder a la estimacion por odometria\n",
    "errorPos_x.append(endPos[0] - vrep_move_x[-1])\n",
    "errorPos_y.append(endPos[1] - vrep_move_y[-1])\n",
    "errorTheta.append(endPos[2] - theta)\n",
    "plotTime.append(simtime)\n",
    "t.append(0)\n",
    "\n",
    "# actualizacion de las variables de control\n",
    "rho = np.sqrt(endPos[0]**2 + endPos[1]**2)\n",
    "alpha = -theta + np.arctan2(endPos[1], endPos[0])\n",
    "beta = errorTheta[-1]\n",
    "\n",
    "# constantes del controlador proporcional\n",
    "K_rho = 0.15 #0.25\n",
    "K_alpha = 0.5 #0.5\n",
    "K_beta = 0.0\n",
    "\n",
    "#Cinematica directa\n",
    "def directKinematics(vr, vl, x, y, theta):\n",
    "    xresp = x + (radii/2)*(vr+vl)*cos(theta)\n",
    "    yresp = y + (radii/2)*(vr+vl)*sin(theta)\n",
    "    thetaresp = theta + ((radii/l)*(vr-vl))\n",
    "    #print(f'theta={theta} thetaresp={thetaresp}')\n",
    "    return {\n",
    "        'pos_x':xresp,\n",
    "        'pos_y':yresp,\n",
    "        'theta':thetaresp\n",
    "    }\n",
    "\n",
    "print('-------------------------------------------------------------')\n",
    "#Primero corregimos la orientacion de forma que el robot este alineado con el punto al que se quiere ir\n",
    "while np.abs(alpha)>0.001:      \n",
    "    # se calcula el error de posicion con respecto a los datos de vrep\n",
    "    deltaX = endPos[0] - vrep_move_x[-1]\n",
    "    deltaY = endPos[1] - vrep_move_y[-1]\n",
    "    eTheta = endPos[2] -  vrep_theta[-1]\n",
    "\n",
    "    # actualizacion de las variables de control\n",
    "    #Si el angulo necesitado esta en el segundo o tercer cuadrante aplicar la correccion\n",
    "    neededAngle= np.arctan2(deltaY, deltaX)\n",
    "    if deltaY>=0 and deltaX<0:\n",
    "        neededAngle+=np.pi\n",
    "    elif deltaY<0 and deltaX<0:\n",
    "        neededAngle-=np.pi\n",
    "\n",
    "    rho = np.sqrt(deltaX**2 + deltaY**2)\n",
    "    alpha = neededAngle-vrep_theta[-1]\n",
    "    beta = eTheta\n",
    "\n",
    "    print(f'Reduciendo ALPHA: rho={rho} alpha={alpha} beta={eTheta}')\n",
    "    \n",
    "    # se guarda el error de posicion\n",
    "    errorPos_x.append(deltaX)\n",
    "    errorPos_y.append(deltaY)\n",
    "    errorTheta.append(eTheta)\n",
    "\n",
    "    # control P para alpha -> vel angular en marco local\n",
    "    velW_frameR = K_alpha*alpha\n",
    "    if np.abs(velW_frameR) > np.pi:\n",
    "        velW_frameR = np.pi*np.sign(velW_frameR)\n",
    "\n",
    "    # calculo de las velocidades de las ruedas\n",
    "    vr = (velW_frameR*l)/(2*radii)\n",
    "    vl = (-velW_frameR*l)/(2*radii)\n",
    "\n",
    "    #print(f'vr={vr} vl={vl}')\n",
    "\n",
    "    # se guarda la ultima pose del robot (adquira a traves del position_callback)\n",
    "    act_pos = directKinematics(vr,vl,vrep_move_x[-1],vrep_move_y[-1],vrep_theta[-1])\n",
    "    vrep_move_x.append(act_pos['pos_x'])\n",
    "    vrep_move_y.append(act_pos['pos_y'])\n",
    "    vrep_theta.append(act_pos['theta'])\n",
    "    \n",
    "\n",
    "print('-------------------------------------------------------------')\n",
    "# primero vamos a corregir el error [x,y] entre la posicion del robot\n",
    "# y la posicion deseada\n",
    "# para ello, rho debe aproximarse a 0.0, pero trabajaremos con una\n",
    "# tolerancia de 2cm\n",
    "while rho>0.001:    \n",
    "    # se calcula el error de posicion con respecto a los datos de vrep\n",
    "    deltaX = endPos[0] - vrep_move_x[-1]\n",
    "    deltaY = endPos[1] - vrep_move_y[-1]\n",
    "    eTheta = endPos[2] - vrep_theta[-1]\n",
    "\n",
    "    # actualizacion de las variables de control\n",
    "    rho = np.sqrt(deltaX**2 + deltaY**2)\n",
    "    alpha = -vrep_theta[-1] + np.arctan2(deltaY, deltaX)\n",
    "    beta = eTheta\n",
    "\n",
    "    print(f'Reduciendo RHO: rho={rho} alpha={alpha} beta={eTheta}')\n",
    "    \n",
    "    # se guarda el error de posicion\n",
    "    errorPos_x.append(deltaX)\n",
    "    errorPos_y.append(deltaY)\n",
    "    errorTheta.append(eTheta)\n",
    "\n",
    "    # control P para rho -> vel lineal en x en marco local\n",
    "    velX_frameR = K_rho * rho\n",
    "    if np.abs(velX_frameR) > 7.0:\n",
    "        velX_frameR = 7.0*np.sign(velX_frameR)\n",
    "\n",
    "    vr = velX_frameR/radii\n",
    "    vl = velX_frameR/radii\n",
    "\n",
    "    # se guarda la ultima pose del robot (adquira a traves del position_callback)\n",
    "    act_pos = directKinematics(vr,vl,vrep_move_x[-1],vrep_move_y[-1],vrep_theta[-1])\n",
    "    vrep_move_x.append(act_pos['pos_x'])\n",
    "    vrep_move_y.append(act_pos['pos_y'])\n",
    "    vrep_theta.append(act_pos['theta'])\n",
    "    \n",
    "print('-------------------------------------------------------------')\n",
    "# una vez le robot en la posicíon destino, se corrije la orientacion\n",
    "while np.abs(beta)>0.01:\n",
    "    K_beta = 0.4\n",
    "    velX_frameR=0\n",
    "    deltaX = endPos[0] - vrep_move_x[-1]\n",
    "    deltaY = endPos[1] - vrep_move_y[-1]\n",
    "    eTheta = endPos[2] - vrep_theta[-1]\n",
    "    beta = eTheta\n",
    "\n",
    "    print(f'Reduciendo BETA: rho={rho} alpha={alpha} beta={eTheta}')\n",
    "\n",
    "    errorPos_x.append(deltaX)\n",
    "    errorPos_y.append(deltaY)\n",
    "    errorTheta.append(eTheta)\n",
    "\n",
    "    # control P para beta -> vel angular en marco local\n",
    "    velW_frameR = K_beta*beta\n",
    "    if np.abs(velW_frameR) > np.pi:\n",
    "        velW_frameR = np.pi*np.sign(velW_frameR)\n",
    "\n",
    "    vr = (velW_frameR*l)/(2*radii)\n",
    "    vl = (-velW_frameR*l)/(2*radii)\n",
    "\n",
    "    # se guarda la ultima pose del robot (adquira a traves del position_callback)\n",
    "    act_pos = directKinematics(vr,vl,vrep_move_x[-1],vrep_move_y[-1],vrep_theta[-1])\n",
    "    vrep_move_x.append(act_pos['pos_x'])\n",
    "    vrep_move_y.append(act_pos['pos_y'])\n",
    "    vrep_theta.append(act_pos['theta'])\n",
    "\n",
    "plotTime = list(range(0,len(errorPos_x)))\n",
    "# se muestra una grafica con la trayectoria del robot\n",
    "plt.figure(1, figsize=(8, 6), dpi=120)\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.plot(np.array(vrep_move_x), np.array(vrep_move_y), c='blue')\n",
    "plt.xlabel('Posición en X')\n",
    "plt.ylabel('Posición en Y')\n",
    "plt.title('Trayectoria: Linea Recta')\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.plot(np.array(plotTime), np.array(vrep_theta), c='black')\n",
    "plt.xlabel('Número de iteraciones')\n",
    "plt.ylabel('Orientación [rad]')\n",
    "plt.title('Orientación vs Iteraciones')\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.plot(np.array(plotTime), np.array(vrep_move_x), c='red')\n",
    "plt.plot(np.array(plotTime), np.array(vrep_move_y), c='purple')\n",
    "plt.xlabel('Número de iteraciones')\n",
    "plt.ylabel('Posición: Marco global')\n",
    "plt.title('Posición vs Iteraciones')\n",
    "plt.legend(['Posición en X [m]', 'Posición en Y [m]'])\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "plt.tight_layout()\n",
    "plt.savefig('Trayectoria')\n",
    "\n",
    "# se muestra una grafica con el error en x, y y theta\n",
    "plt.figure(2, figsize=(8, 6), dpi=120)\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.plot(np.array(plotTime), np.array(errorPos_x))\n",
    "plt.ylabel('$Error_{X}$')\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.plot(np.array(plotTime), np.array(errorPos_y))\n",
    "plt.ylabel('$Error_{Y}$')\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.plot(np.array(plotTime), np.array(errorTheta))\n",
    "plt.ylabel('$Error_{\\Theta}$')\n",
    "plt.xlabel('Número de iteraciones')\n",
    "plt.grid(color='b', ls = '-.', lw = 0.25)\n",
    "plt.savefig('Errores')\n",
    "plt.show()"
   ]
  }
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